Arduino Water Level Sensor with Python Live Data Plotting | Arduino Projects with Code and Wiring

Arduino Water Level Sensor with Python Live Data Plotting | Arduino Projects with Code and Wiring Subscribe here for More Source code & tutorials: https://bit.ly/2YdWUxU​​​​​​​​​​​​​​​ LIKE our FB PAGE: https://www.facebook.com/itsourcecode Official Website: https://itsourcecode.com/​​​​​​​​​​​​​​​ Download the complete source code here: https://bit.ly/3ivQxjV Increase ad revenue 50-250% with Ezoic - https://bit.ly/2OIIPpD Song: Ikson - Do It (No Copyright Music Vlog Library) Music promoted by No Copyright Music Vlog Library. Intro made by Prince Ly Cesar In this article, you will learn how to use an Arduino Water level sensor and plot the data in Python. Creating this project will let you do serial communication from Arduino to Python. This is very useful if you are gathering data live or constantly monitoring liquids. Arduino Water Level Sensor with Python Live Data Plotting: Creating the Device To start this project, you need the following: Qty Component 1 Arduino UNO 1 Water Level Sensor We will be using an Arduino Uno microprocessor board. Arduino Uno is suitable for any projects and is the cheapest and widely used microprocessor board in the Arduino family. This is great for all kinds of IoT projects. Now that our device is ready, you can now create live data plotting. First is to install pyserial and matplotlib. Pyserial is the package that lets you communicate with the Arduino while the matplotlib creates the data plotting. To do this, open PyCharm 2021 and go to View Tool Windows, Python Packages. And that’s it! You have successfully created an Arduino Water Level Sensor with Python Live Data Plotting! All you need to do is code the sensor and assemble. Then, create a project in Python and install Pyserial and Matplotlib packages, check the code above and run the program! This project is versatile and can be combined with other projects. Feel free to write your questions about the Arduino Water Level Sensor with Python Live Data Plotting at the comments below -------- Arduino Water Level Sensor with Python Live Data Plotting | Arduino Projects with Code and Wiring Subscribe here for More Source code & tutorials: https://bit.ly/2YdWUxU​​​​​​​​​​​​​​​ LIKE our FB PAGE: https://www.facebook.com/itsourcecode Official Website: https://itsourcecode.com/​​​​​​​​​​​​​​​ Download the complete source code here: https://bit.ly/3ivQxjV Increase ad revenue 50-250% with Ezoic - https://bit.ly/2OIIPpD Song: Ikson - Do It (No Copyright Music Vlog Library) Music promoted by No Copyright Music Vlog Library. Intro made by Prince Ly Cesar In this article, you will learn how to use an Arduino Water level sensor and plot the data in Python. Creating this project will let you do serial communication from Arduino to Python. This is very useful if you are gathering data live or constantly monitoring liquids. Arduino Water Level Sensor with Python Live Data Plotting: Creating the Device To start this project, you need the following: Qty Component 1 Arduino UNO 1 Water Level Sensor We will be using an Arduino Uno microprocessor board. Arduino Uno is suitable for any projects and is the cheapest and widely used microprocessor board in the Arduino family. This is great for all kinds of IoT projects. Now that our device is ready, you can now create live data plotting. First is to install pyserial and matplotlib. Pyserial is the package that lets you communicate with the Arduino while the matplotlib creates the data plotting. To do this, open PyCharm 2021 and go to View Tool Windows, Python Packages. And that’s it! You have successfully created an Arduino Water Level Sensor with Python Live Data Plotting! All you need to do is code the sensor and assemble. Then, create a project in Python and install Pyserial and Matplotlib packages, check the code above and run the program! This project is versatile and can be combined with other projects. Feel free to write your questions about the Arduino Water Level Sensor with Python Live Data Plotting at the comments below